A l'occasion de la première journée eHealth du 7 juin 2013, Prof. Henning Müller et Prof. Michael Schumacher ont présenté les projets de recherche eHealth de notre institut.
Henning Müller et Michael Schumacher pour la journée e-health 2013Thearkvalais
The document summarizes the work of the eHealth unit at HES-SO in Sierre, Switzerland. It conducts applied research in eHealth with the goal of supporting the health domain by connecting data and interpreting multiple sources for reliable decision making. Some of its projects include developing tools for monitoring and managing gestational diabetes, extracting concepts from medical images for similar case retrieval, and creating an infrastructure to integrate complex patient data from multiple sources to simulate treatment outcomes.
Henning Müller - E-health unit HES-SO in Sierre - e-health 6.6.2014Thearkvalais
The document summarizes the eHealth unit at HES-SO in Sierre, Switzerland. It discusses the unit's history of eHealth projects since 2007 and its focus on applied research and innovation. The unit has close links with local, national, and international partners in healthcare and research. It has 27 collaborators working on projects, has published 60 papers in 2012, launched one startup in 2013, and is preparing additional startups. The unit's research vision is to support the health domain by connecting diverse medical data sources and people to reliably interpret the combined data in light of an increasingly data-driven approach to medicine.
This document is a resume for Mouandjo Liberte Louison, who is pursuing an MSc in Health Informatics and seeking an internship in IT or health. They have experience in programming, data analysis, mobile app development, and medical simulation training. Their qualifications include an MSc in Health Informatics and a BSc in Computer Science, as well as certifications in basic life support and trauma life support.
A brief presentation of our work in establishing the MSc in Health Data Science and MSc in Health Informatics programes at Swansea University.
This was presented at the "Best Practices" set of talks at the UK eHealth Week conference (http://ukehealthweek.com/)
Research data management at the University of Pretoria: a case studyheila1
definitions; why manage research data; research data life cycle; chronological developments; survey on essential data; recommendations; pilot studies; example of a doctoral student's data; long-term preservation
This document provides biographical information about Madis Tiik and his career in digital health and eHealth in Estonia. It then summarizes Tiik's visit to the Scripps Translational Science Institute in San Diego, including their work on individualized healthcare using genetics, digital technology, and real-time health monitoring under the leadership of Dr. Eric Topol. The document concludes by listing some news articles on digital health technologies.
2015 09-10 Health Valley meets Topsector LSH Alain van GoolAlain van Gool
Outline of the Radboud way towards Personalized Health(care)in a great session between health Valley, Topsector LSH, Radboudumc, province Gelderland and others.
[2.7] Practice of Data Management in Clinical Research - Barry Ruijter [3TU.D...3TU.Datacentrum
3TU.Datacentrum Symposium Research Data Management:
Funder requirements, Questions and Solutions
At this symposium the funding organisation NWO and the European Commission explained their vision, plans and requirements. Researchers from the three universities of technology shared their experiences of data management in different stages of research. And the Research Data Services team informed the audience about research data management services offered by 3TU.Datacentrum.
The 3TU.Datacentrum symposium took place at the TU Delft (26 May), University of Twente (2 June) and TU Eindhoven (11 June) for and with local researchers.
More information on: datacentrum.3tu.nl/over-3tudatacentrum/symposium-2014
Henning Müller et Michael Schumacher pour la journée e-health 2013Thearkvalais
The document summarizes the work of the eHealth unit at HES-SO in Sierre, Switzerland. It conducts applied research in eHealth with the goal of supporting the health domain by connecting data and interpreting multiple sources for reliable decision making. Some of its projects include developing tools for monitoring and managing gestational diabetes, extracting concepts from medical images for similar case retrieval, and creating an infrastructure to integrate complex patient data from multiple sources to simulate treatment outcomes.
Henning Müller - E-health unit HES-SO in Sierre - e-health 6.6.2014Thearkvalais
The document summarizes the eHealth unit at HES-SO in Sierre, Switzerland. It discusses the unit's history of eHealth projects since 2007 and its focus on applied research and innovation. The unit has close links with local, national, and international partners in healthcare and research. It has 27 collaborators working on projects, has published 60 papers in 2012, launched one startup in 2013, and is preparing additional startups. The unit's research vision is to support the health domain by connecting diverse medical data sources and people to reliably interpret the combined data in light of an increasingly data-driven approach to medicine.
This document is a resume for Mouandjo Liberte Louison, who is pursuing an MSc in Health Informatics and seeking an internship in IT or health. They have experience in programming, data analysis, mobile app development, and medical simulation training. Their qualifications include an MSc in Health Informatics and a BSc in Computer Science, as well as certifications in basic life support and trauma life support.
A brief presentation of our work in establishing the MSc in Health Data Science and MSc in Health Informatics programes at Swansea University.
This was presented at the "Best Practices" set of talks at the UK eHealth Week conference (http://ukehealthweek.com/)
Research data management at the University of Pretoria: a case studyheila1
definitions; why manage research data; research data life cycle; chronological developments; survey on essential data; recommendations; pilot studies; example of a doctoral student's data; long-term preservation
This document provides biographical information about Madis Tiik and his career in digital health and eHealth in Estonia. It then summarizes Tiik's visit to the Scripps Translational Science Institute in San Diego, including their work on individualized healthcare using genetics, digital technology, and real-time health monitoring under the leadership of Dr. Eric Topol. The document concludes by listing some news articles on digital health technologies.
2015 09-10 Health Valley meets Topsector LSH Alain van GoolAlain van Gool
Outline of the Radboud way towards Personalized Health(care)in a great session between health Valley, Topsector LSH, Radboudumc, province Gelderland and others.
[2.7] Practice of Data Management in Clinical Research - Barry Ruijter [3TU.D...3TU.Datacentrum
3TU.Datacentrum Symposium Research Data Management:
Funder requirements, Questions and Solutions
At this symposium the funding organisation NWO and the European Commission explained their vision, plans and requirements. Researchers from the three universities of technology shared their experiences of data management in different stages of research. And the Research Data Services team informed the audience about research data management services offered by 3TU.Datacentrum.
The 3TU.Datacentrum symposium took place at the TU Delft (26 May), University of Twente (2 June) and TU Eindhoven (11 June) for and with local researchers.
More information on: datacentrum.3tu.nl/over-3tudatacentrum/symposium-2014
1) Utrecht University has developed a research data policy framework to promote open sharing of research data in response to new funder and legal requirements.
2) In creating the framework, the university consulted with faculty members and considered guidelines from LERU, finding differences in research cultures and needs across disciplines.
3) The framework defines roles and responsibilities, requires data management plans, provides for secure storage and archiving of data, and aims to make data accessible and available for reuse while protecting it appropriately.
4) Next steps include advocacy, training, improving infrastructure and support to fully implement the framework.
Presentation by Prof Lisa Askie, ANZCTR, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
International perspective for sharing publicly funded medical research dataARDC
Presentation by Olivier Salvado, CSIRO, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
This document discusses the Radboud University Medical Center (Radboudumc) in Nijmegen, Netherlands. It provides details about:
1. Radboudumc's mission to have a significant impact on healthcare through personalized healthcare and the patient as partner approach.
2. The core activities of patient care, research, and education conducted by 11,000 colleagues across 52 departments and serving 3,300 students.
3. The 18 Technology Centers at Radboudumc that provide technological expertise and resources to approximately 1,600 internal and external users across 140 consortia working in areas like genomics, imaging, and clinical trials.
The document summarizes data science education resources developed by researchers at Oregon Health & Science University. It describes the challenges of managing vast amounts of biomedical data and the goal of providing training to address this issue. The team developed skills courses and open educational resources (OERs) on topics across the data science life cycle. Courses included introductory, advanced, and targeted workshops. OER modules covered a range of data science topics and mapped to competencies for health sciences librarians. The team seeks to disseminate the resources broadly while addressing challenges around customization for different users and protection of intellectual property.
Presentation by Dr Adrian Burton, ARDC, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
Presentation by Dr Steve McEachern, ADA, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
Aidan Horner spoke about Psychology's Open Science Interest Group at the first Open Data in Practice event at the University of York on 15 November 2018.
Kevin Cowtan spoke about the significant benefits he has gained from openly sharing his research data at the first Open Data in Practice event at the University of York on 15 November 2018.
ANDS health and medical data webinar 9 May. Review of the National Statement ...ARDC
Presentation by Jeremy Kenner from NHMRC on the review of the National Statement on Ethical Conduct in Human Research. Given on 9 May 2017
Full Webinar: https://www.youtube.com/watch?v=eENTF3oVVdk&t=2s
Transcript: https://www.slideshare.net/AustralianNationalDataService/transcript-webinar9517healthandmedicalshortbites
Presentation by Dr Davina Ghersi, NHMRC, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
The Future: Overcoming the Barriers to Using NHS Clinical Data For Research P...Mark Hawker
The document summarizes the barriers to using clinical data from the UK National Health Service (NHS) for research purposes and potential solutions. It discusses issues with data quality, coding, and linking records across disconnected systems. However, integrated electronic health records could enable large cohort studies and clinical trials if privacy and security are ensured. The author proposes training for clinical and research staff on database design, standards, and information sharing to help align records and support strategic health research using NHS data.
Presentation by Hugo Leroux and Liming Zhu, CSIRO, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
Keynote Presentation: Sharing of Care Records Dr. Maureen BakergillianDH
This document discusses principles of sharing patient care records between healthcare providers. It outlines different methods of record sharing, from basic summaries to full integrated records. Key principles are that patient safety and privacy must be paramount. Effective record sharing requires reliable identification of patients, attribution of entries, and application of data standards. The document also examines what information primary care providers need from hospitals to effectively care for shared patients after discharge.
Intersystems technology for healthcareDenis Pavlov
InterSystems is an international software company founded in 1978 that provides healthcare technology and databases. It has offices in 22 countries and systems in 88 countries. InterSystems provides the #1 database in healthcare (Caché) and the #1 healthcare integration platform (Ensemble). It serves top healthcare clients and all 19 of the top hospitals in the US use InterSystems technology. Examples of national healthcare projects include the Swedish National Patient Summary and the South African National Health Laboratory System.
Eisenhower Medical Center Evidence Based Practice 7/8/2014re_johns
This document provides an overview of resources available at the Norris Medical Library. It describes how to access the library homepage and clinicians portal, search PubMed and MEDLINE, request articles through interlibrary loan, find evidence to support clinical decisions, and contact library staff for assistance. Key databases like UpToDate and ClinicalKey are mentioned as sources of clinical information. Guidance is offered on formulating focused clinical questions and searching efficiently using Medical Subject Headings (MeSH). Bibliographic management tools like RefWorks and EndNote are also briefly outlined.
The document provides information on using a Windows loader application to activate Windows operating systems. It discusses common issues users may encounter such as failing to boot after installation, not achieving genuine status, compatibility with UEFI motherboards and Windows Server 2012. It also includes release notes listing changes made in different versions of the loader software and questions/answers addressing technical problems.
1) Utrecht University has developed a research data policy framework to promote open sharing of research data in response to new funder and legal requirements.
2) In creating the framework, the university consulted with faculty members and considered guidelines from LERU, finding differences in research cultures and needs across disciplines.
3) The framework defines roles and responsibilities, requires data management plans, provides for secure storage and archiving of data, and aims to make data accessible and available for reuse while protecting it appropriately.
4) Next steps include advocacy, training, improving infrastructure and support to fully implement the framework.
Presentation by Prof Lisa Askie, ANZCTR, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
International perspective for sharing publicly funded medical research dataARDC
Presentation by Olivier Salvado, CSIRO, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
This document discusses the Radboud University Medical Center (Radboudumc) in Nijmegen, Netherlands. It provides details about:
1. Radboudumc's mission to have a significant impact on healthcare through personalized healthcare and the patient as partner approach.
2. The core activities of patient care, research, and education conducted by 11,000 colleagues across 52 departments and serving 3,300 students.
3. The 18 Technology Centers at Radboudumc that provide technological expertise and resources to approximately 1,600 internal and external users across 140 consortia working in areas like genomics, imaging, and clinical trials.
The document summarizes data science education resources developed by researchers at Oregon Health & Science University. It describes the challenges of managing vast amounts of biomedical data and the goal of providing training to address this issue. The team developed skills courses and open educational resources (OERs) on topics across the data science life cycle. Courses included introductory, advanced, and targeted workshops. OER modules covered a range of data science topics and mapped to competencies for health sciences librarians. The team seeks to disseminate the resources broadly while addressing challenges around customization for different users and protection of intellectual property.
Presentation by Dr Adrian Burton, ARDC, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
Presentation by Dr Steve McEachern, ADA, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
Aidan Horner spoke about Psychology's Open Science Interest Group at the first Open Data in Practice event at the University of York on 15 November 2018.
Kevin Cowtan spoke about the significant benefits he has gained from openly sharing his research data at the first Open Data in Practice event at the University of York on 15 November 2018.
ANDS health and medical data webinar 9 May. Review of the National Statement ...ARDC
Presentation by Jeremy Kenner from NHMRC on the review of the National Statement on Ethical Conduct in Human Research. Given on 9 May 2017
Full Webinar: https://www.youtube.com/watch?v=eENTF3oVVdk&t=2s
Transcript: https://www.slideshare.net/AustralianNationalDataService/transcript-webinar9517healthandmedicalshortbites
Presentation by Dr Davina Ghersi, NHMRC, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
The Future: Overcoming the Barriers to Using NHS Clinical Data For Research P...Mark Hawker
The document summarizes the barriers to using clinical data from the UK National Health Service (NHS) for research purposes and potential solutions. It discusses issues with data quality, coding, and linking records across disconnected systems. However, integrated electronic health records could enable large cohort studies and clinical trials if privacy and security are ensured. The author proposes training for clinical and research staff on database design, standards, and information sharing to help align records and support strategic health research using NHS data.
Presentation by Hugo Leroux and Liming Zhu, CSIRO, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
Keynote Presentation: Sharing of Care Records Dr. Maureen BakergillianDH
This document discusses principles of sharing patient care records between healthcare providers. It outlines different methods of record sharing, from basic summaries to full integrated records. Key principles are that patient safety and privacy must be paramount. Effective record sharing requires reliable identification of patients, attribution of entries, and application of data standards. The document also examines what information primary care providers need from hospitals to effectively care for shared patients after discharge.
Intersystems technology for healthcareDenis Pavlov
InterSystems is an international software company founded in 1978 that provides healthcare technology and databases. It has offices in 22 countries and systems in 88 countries. InterSystems provides the #1 database in healthcare (Caché) and the #1 healthcare integration platform (Ensemble). It serves top healthcare clients and all 19 of the top hospitals in the US use InterSystems technology. Examples of national healthcare projects include the Swedish National Patient Summary and the South African National Health Laboratory System.
Eisenhower Medical Center Evidence Based Practice 7/8/2014re_johns
This document provides an overview of resources available at the Norris Medical Library. It describes how to access the library homepage and clinicians portal, search PubMed and MEDLINE, request articles through interlibrary loan, find evidence to support clinical decisions, and contact library staff for assistance. Key databases like UpToDate and ClinicalKey are mentioned as sources of clinical information. Guidance is offered on formulating focused clinical questions and searching efficiently using Medical Subject Headings (MeSH). Bibliographic management tools like RefWorks and EndNote are also briefly outlined.
The document provides information on using a Windows loader application to activate Windows operating systems. It discusses common issues users may encounter such as failing to boot after installation, not achieving genuine status, compatibility with UEFI motherboards and Windows Server 2012. It also includes release notes listing changes made in different versions of the loader software and questions/answers addressing technical problems.
This document lists life members of the Indian Society for History of Mathematics. It contains two sections - one listing 10 life members from foreign countries with their names, affiliations, and countries. The other section lists 222 life members from India and SAARC countries with their names and affiliations. The members are listed with membership numbers.
The document summarizes a two-day international seminar on the history of mathematics held in New Delhi in 2012. Over 150 mathematicians from 16 countries participated in the event, which celebrated the 125th birth anniversary of Srinivasa Ramanujan and covered various aspects of mathematics history, especially ancient Indian history. There were 11 sessions over the two days featuring talks and papers from scholars. The seminar concluded with positive feedback and was considered a great success in arranging such a large international event.
Indo Africa Times, a weekly newspaper has its key intend to create extensive awareness amongst people about Africa and India concerning different sectors like economy, politics, culture, fashion, sports and many more. It is our sincere endeavor to bridge the information gap between Africa and India by endowing our readers with updated and latest developments occurring in both the countries.
Cette conférence - e-santé : évolution ou révolution? - a pour but de présenter quelques projets développés par les hautes écoles et entreprises de pointe dans le domaine. A cette occasion, Prof. Dr. Henning Müller a fait un exposé intitulé: La e-santé en général et quelques projets de la HES-SO Valais.
Prof. Henning Müller gave the presentation Information Access to Medical Image Data: from Big Data to Semantics - Academic and Commercial Challenges at the DBTA Workshop on Academic-Industrial Forms of Collaboration at the University of Lausanne.
The presentation introduced two EU funded projects called Khresmoi and Visceral and highlighted the collaborations of HES-SO with several companies in these projects and also with other Universities and institutions in Switzerland.
Panel: FROM SMALL TO BIG TO RICH DATA: Dealing with new sources of data in Biomedicine Precision and Participatory Medicine
Fernando J. Martin-Sanchez, Professor and Chair of Health Informatics at Melbourne Medical School, discusses new sources of data in biomedicine including small, big, and rich data. He describes how small data connects people with meaningful insights from big data to be understandable for everyday tasks. Martin-Sanchez also discusses precision medicine, participatory health, and how convergence between the two can help integrate multiple data sources including genomics, the exposome, and digital health to improve disease prevention and treatment outcomes.
MWB e-Me - a view on citizen centric information systems - reordered ccPekka Muukkonen
This document discusses the development of a citizen-centric information system called "MyWellbeing" that aims to empower citizens and support their well-being. The project involves several universities and organizations in Finland. It seeks to provide citizens with a personal life record, personal activity navigation tools, and tools to manage service relationships. The personal life record would integrate health and other personal information from various sources into a single system. Personal activity navigation would provide guidance and timelines for common life processes and health issues. Relationship management tools would help citizens exchange information with service providers and understand their service options. The goal is to make citizens active participants in their own well-being through access to consolidated personal information and decision support.
This document discusses innovation in health and e-health. It notes that populations are aging and chronic conditions are increasing, putting demands on healthcare systems and professionals. It describes Odense University Hospital as a major Danish healthcare center that receives 10% of the country's healthcare budget. The hospital's innovation focuses on buildings, processes, and systems like infrastructure, communication platforms, shared care systems, robots, and cross-sectoral collaboration. It discusses telemedicine and using a MAST model for assessing telemedicine applications across multiple domains. The document emphasizes staying patient-focused, collaborating locally and globally, developing and testing new technologies, and ensuring recruitment and expansion of competencies to serve future hospitals.
Sdal air health and social development (jan. 27, 2014) finalkimlyman
This document summarizes a workshop on health and social development analytics using big data. It discusses how data sources are becoming larger, more diverse and used for multiple purposes. This presents opportunities to better understand issues but also challenges around privacy, bias and data quality. The workshop aims to identify partnership opportunities and prototype projects using integrated data to address health and social issues. Case studies from various institutions are presented using combined data sources like medical records, surveys and environmental factors.
Dice01 re life-ict-system-smartdiagn-pdw-27june2013Jun Hu
1) The document discusses an ICT system called ReLifE that aims to create a smart and remote diagnosis infrastructure in the Netherlands.
2) ReLifE seeks to shift healthcare from hospitals to primary care and self-care through unobtrusive diagnostic methods enabled by technologies like sensing, imaging, and ICT.
3) It proposes a conceptual person-centric infrastructure that empowers individuals and connects all stakeholders through a shared data platform and applications while maintaining privacy, security, and patient control of personal data.
mHealth Symposium University Hospital of North Norway3GDR
This document discusses methods for involving patients in the design of mobile health applications. It describes focus groups, paper prototyping, usability testing and other methods used to engage diabetes patients in developing apps. Examples are provided of apps developed at the University hospital of North Norway to help patients manage blood glucose, nutrition, medication and activities. Challenges discussed include engaging healthcare providers and integrating patient tools into healthcare systems.
Big Data Infrastructure for Translational Research discusses challenges in building big data infrastructure for translational research. It defines big data as large and complex data difficult to process with typical tools. Big data comes from various sources like mobile devices, sensors, clinical monitors. Scaling data acquisition from patient bed to institution is discussed. Tools used include databases, scripting languages, statistical packages and visualization. Challenges include data capture, curation, storage, sharing and analysis. A multidisciplinary team approach is advocated to tackle big data challenges in translational medicine.
On March 23, 2016, Prof. Henning Müller (HES-SO Valais-Wallis and Martinos Center) presented Medical image analysis and big data evaluation infrastructures at Stanford medicine.
Improving health care outcomes with responsible data scienceWessel Kraaij
Keynote presentation by Wessel Kraaij at the Dutch pattern recognition and impage processing society (NVPBV) 29/5/2018, Eindhoven.
This talk discusses
1. trends in health care and respondible data science and their intersection
2. Secure federated analytics on distributed data repositories
3. Generating clinically relevant hypotheses from patient forum discussions.
HETT Conference Olympic Central 2014 Integrating Healthcare DeliveryElmar Flamme
Integrating Healthcare Delivery through the Innovative Use of Information & Technology - A user story from behind the CONTENT covered mountains and the deep
BIG DATA forest
The document discusses making the electronic health record (EHR) a "killer app" that accelerates widespread adoption. It argues that a paradigm shift is needed in EHR concepts, stakeholders, integration across domains, and faster adoption of technology. For the EHR to be a killer app, it must provide patient safety, efficient care, data management, knowledge management, and adaptive workflows. Overcoming challenges like standards, data sharing, and usability will help realize the promise of informatics to improve health globally.
Presentation by Prof. Dr. Henning Müller.
Overview:
- Medical image retrieval projects
- Image analysis and 3D texture modeling
- Data science evaluation infrastructures (ImageCLEF, VISCERAL, EaaS – Evaluation as a Service)
- What comes next?
Connected Health & Me - Matic Meglic - Nov 24th 2014ipposi
This document discusses how data sharing is changing healthcare by empowering patients. It outlines a shift from a traditional care model, where patients are passive recipients of care, to one where patients are engaged and empowered through access to their own health data and contextual knowledge. Key drivers of this change include affordable technology, the quantified self-movement, big data, and empowered patients. The document discusses how patient registries and personalized medicine can utilize data to better understand treatment efficacy for similar patients and provide personalized care plans. It also notes challenges around data privacy and the need for guidelines. Overall, the document advocates for empowering patients through access to their own health data while using data and technology to coordinate and improve healthcare.
This document provides an overview of the APOTTI client and patient data system programme from 2012-2017. The programme involves several municipalities and hospitals in the Helsinki region working together to implement a new integrated IT system. The goals are to improve functionality, patient care, coordination between social and health services, productivity, and data use. The programme expects to benefit patients through more time with them, empowerment, safety, and better quality care. Implementation will occur in phases from 2013-2019 and involves procuring a new system, customizing it, pilot testing, and transitioning all users. Challenges include the large number of organizations and users involved, keeping the project timeline, and adjusting workflows between social and health care sectors.
Talk entitled "from the Virtual Human to a Digital Me" presented at the Virtual Physiological Human 2012 Conference held at IET Savoy, Savoy Place, London, 18-20 September 2012.
This document discusses developing a risk of bias corpus from randomized controlled trials. Annotations were conducted on 10 RCT full texts using the Revised Cochrane Risk of Bias 2.0 tool as guidelines. Inter-annotator agreement was around 75% for identifying text spans and response judgments. Errors included annotating different text spans, sections, and disagreement on polarity and degree of risk of bias. Future work includes refining the guidelines through an iterative process to improve annotation quality and expanding the corpus size.
Exploiting biomedical literature to mine out a large multimodal dataset of rare cancer studies. Presentation of Anjani K. Dhrangadhariya (Institute of Information Systems, HES-SO Valais-Wallis, Sierre) at SPIE Medical Imaging 2020.
Présentation de Prof. Yann Bocchi de l'institut informatique de gestion HES-SO Valais-Wallis à la Conférence TechnoArk 2020 sur le thème de l'industrie connectée.
Studying Public Medical Images from Open Access Literature and Social Networks for Model Training and Knowledge Extraction
Henning Müller, Vincent Andrearczyk, Oscar Jimenez, Anjani Dhrangadhariya
Maria Tootell (Oprisko)
Risques opérationnels et le système de contrôle interne : les limites d’un tel système
Cyrille Reynard et Jean-Jaques Kohler (Oprisko)
Cas pratiques issus de la gestion des risques, applicables aux secteurs public ou privé
eGov Workshop – La plus-value du système de contrôle interne
Creating an optimal travel plan is not an easy task, particularly for people with mobility disabilities, for whom even simple trips, such as eating out in a restaurant, can be extremely difficult. Many of their travel plans need to be made days or even months in advance, including the route and time of day to travel. These plans must take into account ways in which to navigate the area, as well as the most suitable means of transportation. In response to these challenges, this study was designed to develop a solution that used linked data technologies in the domains of tourism services and e-governance to build a smart city application for wheelchair accessibility. This smart phone application provides useful travel information to enable those with mobility disabilities to travel more easily.
Ou quelques réflexions autour des comportements d’un leader stratégique qui semblent être sans valeurs mesurables mais qui sont certainement à haute valeur ajoutée pour l’équipe/entreprise/organisation.
Après une courte introduction qui va présenter une définition de leadership stratégique, cet atelier va se baser, comme fil rouge, sur les 10 principes communément admis du leadership stratégique (suite à une large étude de PWC). Pour chacun de ces principes, nous allons interagir avec les participant-e-s tant des comportements à (haute) valeur ajoutée que ceux plutôt toxiques ; puis débattre autour des indicateurs de mesures possibles (ou déjà expérimentés par les participants)
L’objectif principal est que chaque participant-e s’interroge sur son leadership stratégique et la valeur amenée dans l’entreprise/organisation et qu’il-elle soit parfois défié par le regard d’autres participant-e-s.
We propose a novel imaging biomarker of lung cancer relapse from 3-D texture analysis of CT images. Three-dimensional morphological nodular tissue properties are described in terms of 3-D Riesz-wavelets. The responses of the latter are aggregated within nodular regions by means of feature covariances, which leverage rich intra- and inter-variations of the feature space dimensions. The obtained Riesz-covariance descriptors lie on a manifold governed by Riemannian geometry requiring specific geodesic metrics to locally approximate scalar products. The latter are used to construct a kernel for support vector machines (SVM). The effectiveness of the presented models is evaluated on a dataset of 92 patients with non-small cell lung carcinoma (NSCLC) and cancer recurrence information. Disease recurrence within a timeframe of 12 months could be predicted with an accuracy above 80, and highlighted the importance of covariance-based texture aggregation. At the end of the talk, computer tools will be presented to easily extract 3D radiomics quantitative features from PET-CT images.
This document discusses challenges in medical imaging and the VISCERAL model. It provides an overview of systematic evaluations of medical image retrieval since the 1960s. It describes the ImageCLEF benchmark which has run medical image retrieval tasks since 2003. It discusses open science initiatives to share data and tools. It introduces the VISCERAL model which brings algorithms to medical image data stored in the cloud to enable large-scale challenges. The document concludes that open science has potential advantages but the medical domain poses complications regarding data protection, and that challenges will be part of the ecosystem for sharing medical image analysis tools.
Dans le cadre des Swiss Mobility Days organisés à Martigny (Suisse) en avril 2016, Yann Bocchi, Prof. à l'institut Informatique de Gestion de la HES-SO Valais-Wallis, présente le projet NOSE (Nomadic, Modular and Scalable IT Ecosystem for Pervasive Sensing).
At the Knime Berlin summit 2016, Prof. Dr. Dominique Genoud presented a novel way to implement a KNIME workflow that perform machine learning and signal processing on an Android platform. The use case was to detect soft falls (not from a standing position) using an Android watch. This application has a big impact on how we can detect automatically when elderly people fall from their bed of their chair. This work was originally based on the Master Thesis in Business Administration realized by Vincent Cuendet in 2015 at the HES-SO with the help of the FST (Fédération Suisse pour les Téléthèses), an organization that helps disabled and elderly people to keep their autonomy.
Presented by Adrien Depeursinge, PhD, at MICCAI 2015 Tutorial on Biomedical Texture Analysis (BTA), Munich, Oct 5 2015.
Texture-based imaging biomarkers complement focal, invasive biopsy based biomarkers by providing information on tissue structure over broad regions, non-invasively, and repeatedly across multiple time points. Texture has been used to predict patient survival, tissue function, disease subtypes and genomics (imagenomics and radiogenomics). Nevertheless, several challenges remain, such as: the lack of an appropriate framework for multi-scale, multi-spectral analysis in 2D and 3D; localization uncertainty of texture operators; validation; and, translation to routine clinical applications.
Mocodis is a web application facilitating the transfer of skills between senior and junior associates. It can be used in companies, institutions to capitalize on the experience of older employees, or can be used to train employees top down. Mocodis automatically generates dynamic micro-courses combining text, audio and video resources, and uses an algorithm to analyze user satisfaction to produce better courses at the next request.
The GET project aims to analyze learning characteristics of new generations of students in order to develop models based on surveys and prototype applications. This will help evolve teaching methods. The project created Google Glass Enhanced TextBooks to improve course materials by enriching paper resources with video accessed through Google Glass. A trial with students provided mostly positive feedback, liking the multimedia resources and links between text and media, though some found the glasses difficult to use and navigation between resources perturbing. Future work will evaluate the impact of different types of video on learning.
This work presents a data-intensive solution to predict Photovoltaïque energy (PV) production.
PV and other renewable sources have widely spread in recent years. Although those sources provide an environmentally-friendly solution, their integration is a real challenge in terms of power management as it depends on meteorological conditions. The ability to predict those variable sources considering meteorological uncertainty plays a key role in the management of the energy supply needs and reserves.
This paper presents an easy-to-use methodology to predict PV production using time series analyses and sampling algorithms. The aim is to provide a forecasting model to set the day-ahead grid electricity need. This information is useful for power dispatching plans and grid charge control. The main novelties of our approach is to provide an easy implemented and flexible solution that combines classification algorithms to predict the PV plant efficiency considering weather conditions and nonlinear regression to predict weather forecasted errors in order to improve prediction results.
The results are based on the data collected in the Techno-pôle’s microgrid in Sierre (Switzerland) described further in the paper.
The best experimental results have been obtained using hourly historical weather measures (radiation and temperature) and PV production as training inputs and weather forecasted parameters as prediction inputs. Considering a 10 month dataset and despite the presence of 17 missing days, we achieve a Percentage Mean Absolute Deviation (PMAD) of 20% in August and 21% in September. Better results can be obtained with a larger dataset but as more historical data were not available, other months have not been tested.
Switzerland is one of the most desirable European destinations for Chinese tourists, a better understanding of Chinese tourists is essential for successful business practices. In China, the largest and leading social media platform – Sina Weibo, has more than 600 million users. Weibo’s great market penetration suggests that tourism operators and markets need to understand how to build effective and sustainable communications on Chinese social media platforms. The goal of this research is to understand Chinese tourists’ behaviors and patterns in Switzerland by adopting a linked data approach on Sina Weibo, and to design a decision support system based on the findings.
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Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 𝟏)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐄𝐏𝐏 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐍𝐚𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐒𝐜𝐨𝐩𝐞 𝐨𝐟 𝐚𝐧 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
CapTechTalks Webinar Slides June 2024 Donovan Wright.pptxCapitolTechU
Slides from a Capitol Technology University webinar held June 20, 2024. The webinar featured Dr. Donovan Wright, presenting on the Department of Defense Digital Transformation.
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إضغ بين إيديكم من أقوى الملازم التي صممتها
ملزمة تشريح الجهاز الهيكلي (نظري 3)
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تتميز هذهِ الملزمة بعِدة مُميزات :
1- مُترجمة ترجمة تُناسب جميع المستويات
2- تحتوي على 78 رسم توضيحي لكل كلمة موجودة بالملزمة (لكل كلمة !!!!)
#فهم_ماكو_درخ
3- دقة الكتابة والصور عالية جداً جداً جداً
4- هُنالك بعض المعلومات تم توضيحها بشكل تفصيلي جداً (تُعتبر لدى الطالب أو الطالبة بإنها معلومات مُبهمة ومع ذلك تم توضيح هذهِ المعلومات المُبهمة بشكل تفصيلي جداً
5- الملزمة تشرح نفسها ب نفسها بس تكلك تعال اقراني
6- تحتوي الملزمة في اول سلايد على خارطة تتضمن جميع تفرُعات معلومات الجهاز الهيكلي المذكورة في هذهِ الملزمة
واخيراً هذهِ الملزمة حلالٌ عليكم وإتمنى منكم إن تدعولي بالخير والصحة والعافية فقط
كل التوفيق زملائي وزميلاتي ، زميلكم محمد الذهبي 💊💊
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How Barcodes Can Be Leveraged Within Odoo 17Celine George
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A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
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Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...TechSoup
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THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...indexPub
The recent surge in pro-Palestine student activism has prompted significant responses from universities, ranging from negotiations and divestment commitments to increased transparency about investments in companies supporting the war on Gaza. This activism has led to the cessation of student encampments but also highlighted the substantial sacrifices made by students, including academic disruptions and personal risks. The primary drivers of these protests are poor university administration, lack of transparency, and inadequate communication between officials and students. This study examines the profound emotional, psychological, and professional impacts on students engaged in pro-Palestine protests, focusing on Generation Z's (Gen-Z) activism dynamics. This paper explores the significant sacrifices made by these students and even the professors supporting the pro-Palestine movement, with a focus on recent global movements. Through an in-depth analysis of printed and electronic media, the study examines the impacts of these sacrifices on the academic and personal lives of those involved. The paper highlights examples from various universities, demonstrating student activism's long-term and short-term effects, including disciplinary actions, social backlash, and career implications. The researchers also explore the broader implications of student sacrifices. The findings reveal that these sacrifices are driven by a profound commitment to justice and human rights, and are influenced by the increasing availability of information, peer interactions, and personal convictions. The study also discusses the broader implications of this activism, comparing it to historical precedents and assessing its potential to influence policy and public opinion. The emotional and psychological toll on student activists is significant, but their sense of purpose and community support mitigates some of these challenges. However, the researchers call for acknowledging the broader Impact of these sacrifices on the future global movement of FreePalestine.
This presentation was provided by Rebecca Benner, Ph.D., of the American Society of Anesthesiologists, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
2. eHealth in Sierre
• History:
– Many eHealth projects since 2007
– eHealth unit since 2011
• Applied research, committed to innovation
• Close to user needs, with strong links:
– Locally (Hôpital VS, Logival, …),
– Nationally (CHUV, HUG, EPFL, …) and
– Internationally (Stanford, Harvard, Imperial
College, Carnegie Mellon, NLM, …)
4. Some numbers
• 22 collaborators
– 3 professors, 5 engineers, 6 postdocs, 8 PhD students
– Many visiting researchers and exchanges with other
research groups & companies
• 60 peer reviewed publications in 2012
• 1 startup company in 2013
• Projects 2013:
– 8 EU FP7 projects
– 4 FNS + 2 Nano-Tera
– CTI, TheArk, Hasler, …
– Mandates
5. Research vision
• Medicine is getting increasingly data intensive
– Digital patient is (becoming) a reality
– Health records, Health monitoring, Internet
information, social networks, genomic data, …
• Our main objective is to support the health
domain
– … by connecting data and people
– … understanding and combining multiple data
sources for reliable interpretations
6. How can we access, use and interpret
data for reliable decision support?
Picture:http://biomedicalcomputationreview.org
15. Sustainable Health
Technology
• Aging population & lifestyle (diabetes,
cancer, heart diseases, etc.)
• Need to sustain health to change
behavior & to allow for a healthy living
– Shift focus from treatments to detection
and prevention
– Develop early diagnosis & health
monitoring
• Interdisciplinary:
16. Gestational Diabetes Mellitus
• GDM occurs during pregnancy (4%)
due to increased resistance to insulin
• Goal of the project:
1. Constant monitoring and recording
to ease treatment adjustment
2. Automatic alerts to medical staff
• Technologies:
– Market sensors (glucometers)
– Smart phones & web apps
– Expert systems
17.
18. • VISual Concept Extraction challenge in
RAdioLogy http://visceral.eu/
• EU funded research project on the creation
of a research infrastructure
– Making big image data sets available for
research in image analysis (10-50 TB)
19. Organize 2 competitions
• 1. Extract organs and
landmarks in images
– Map these to semantics
– Allow navigation in data
– Basic task required
• 2. Find similar cases
– Including images and
radiology reports
– Combining images, text
and structured data
20. Our role in VISCERAL
• Create the platform and infrastructure to
manage the research data in the cloud
• Annotate/prepare data
– With radiologists
– Assure interoperability
• Evaluate results
– Assure scalability and automation when
analyzing the data, necessary for big data
• Creation of a gold and silver corpus
– Organize workshops to compare results
21. Why big data in medicine?
• Data production is already enormous and
it will continue to increase (genetics, …)
– Most can not be used for research as this is
private data
• In very large data similar cases can
always be found
– Learn from the past for the future
– Similar in age, anamnesis, co-morbities
– Also for rare diseases that are currently
problematic
22. • Clinically-lead EU project, (Children hospital Rome)
• Follows two past projects, health-e-child and
sim-e-child
• Integrate complex data
and support decisions
• Simulate patients and
outcomes
• Avoid animal testing
• http://www.md-paedigree.eu/
24. Our role
• Creation of an infostructure to manage all
clinical & research data in the project
– Assure semantic interoperability between the
different clinical partners
– Integrate the data
• Support physicians to find “patients like
mine” and patients to find “patients like me”
– Use structured data, free text and imaging data
combined for similar case retrieval
– Currently analyzing the requirements
25. Conclusions
• The digital patient is a reality
– Increasingly complex data in large amounts
• Collaboration between all partners in the
health system is required
– Management of big data and use of extracted
information for decision making
• Many technical challenges
– Temporal data, images, semantics
• Sustainable health is the goal of research
26. More on our research
• Contact:
– Henning.Mueller@hevs.ch
– Michael.Schumacher@hevs.ch
• More information:
– http://publications.hevs.ch/
– http://medgift.hevs.ch/
– http://aislab.hevs.ch/